Pentaho Data Integration

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Pentaho Data Integration

Pentaho Data Integration prepares and blends data to create a complete picture of your business that drives actionable insights. The platform delivers accurate, analytics-ready data to end-users from any source. With visual tools to eliminate coding and complexity, Pentaho puts big data and all data sources at the fingertips of business and IT users.

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Ease of use with the power to integrate all data

Intuitive drag-and-drop data integration coupled with data agnostic connectivity spanning from flat files and RDBMS to Hadoop and beyond.
  • Graphical extract-transform-load (ETL) designer to simplify the creation of data pipelines
  • Rich library of pre-built components to access, prepare, and blend data from relational sources, big data stores, enterprise applications, and more
  • Powerful orchestration capabilities to coordinate and combine transformations, including notifications and alerts
  • Agile views for modeling and visualizing data on the fly during the data preparation process
  • Integrated enterprise scheduler for coordinating workflows and debugger for testing and tuning job execution.

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Big data integration with zero codings required

 

Checkout Pentaho Tutorial

 
Pentaho's intuitive toolset accelerates the design and deployment of big data analytics by up to 15 times compared to hand-coding techniques.
  • Complete visual big data integration tools eliminate manual programming and scripting from the process
  • Deep integration and the Adaptive Big Data Layer accelerate access to the latest versions and capabilities of popular big data stores
  • Robust support for Hadoop distributions, NoSQL data stores, and analytic databases
  • Empowers users to architect big data blends at the source, and stream them directly for more complete and accurate analytics

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Accessible data PREP for  a Wider Audience

Deliver governed, on-demand data to analysts and end-users in an agile fashion.
  • Seamless self-service data integration solutions for blending and enriching vast volumes of highly diverse data
  • Ability to provide business user access to reliable, governed data with limited support from IT
  • Automatic creation and publishing of metadata models to drive faster analytic results
  • Data services to virtualize transformations without staging, making data sets immediately available to reports and applications
  • Integration of advanced analytic models from R, Python, and Weka to operationalize predictive intelligence while reducing data prep time.

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Accelerating the data pipeline

Go beyond standard ETL to scalable and flexible management for end-to-end data flows.
  • Dynamic and reusable data integration templates that drive massive time savings through dynamically creating transformations on the fly
  • Multi-threaded data integration engine architected to scale up and out, including deployment to clustered and cloud environments
  • Robust administration features including performance monitoring, job roll-back and restart, and an operations mart for usage auditing
  • Enterprise-grade security including access and version controls as well as LDAP and Active Directory integration
  • Data quality and enrichment plug-ins from partner Melissa Data promote enhanced data management.

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